With the development of neural networks and computer graphics,
a new generation of face manipulation technology based on the Variational AutoEncoders [1]}, [2]} and Generative Adversarial Networks [3]} has been widely used.
Correspondingly, face forgery detection has gradually become a research hotspot.
In this section, we will briefly review previous works.
